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Duck enteritis virus (DEV) is an alphaherpesvirinae that causes an acute, contagious, and fatal disease. In this study, the DEV-ULS3 gene from Key Laboratory of Animal Disease and Human Health of Sichuan Province was cloned and sequenced. Nucleotide sequence analysis revealed a 1032 bp open reading frame (ORF) theoretically encoding a 343-amino acid polypeptide was homologous to UL53 gene of alphaherpesvirinaes...
The primary advantage of TreeZip is its use of semantic compression, which allows us to uniquely store tree relationship information. Phylogenetic trees are stored in a format known as a Newick representation, which uses nested parentheses to represent the evolutionary relationships (or subtrees) within a phylogenetic tree. TreeZip uses two universal hashing functions in order to represent compactly...
The study conducted in this work analyses the interactions between different Evolutionary Algorithms when they are hybridized. For this purpose, the phylogenetic tree of the best solution reported by the hybrid algorithm is reconstructed, and the relationships among the ancestors of this solution are established. For each of these ancestors, the evolutionary techniques that generated that solution...
A phylogenetic or evolutionary tree is constructed from a set of species or DNA sequences and depicts the relatedness between the sequences. Predictions of future sequences in a phylogenetic tree are important for a variety of applications including drug discovery, pharmaceutical research and disease control. In this work, we predict future DNA sequences in a phylogenetic tree using cellular automata...
Various phylogenetic reconstruction methods have been proposed in order to determine the most accurate tree that represents evolutionary relationships among species. Each method defines a criterion for evaluation of possible solutions. This criterion leads the search to the best phylogenetic tree. However, different criteria may lead to distinct phylogenies, which often conflict with each other. In...
This paper provides an overview of the application of evolutionary algorithms in certain bioinformatics tasks. Different tasks such as gene sequence analysis, gene mapping, deoxyribonucleic acid (DNA) fragment assembly, gene finding, microarray analysis, gene regulatory network analysis, phylogenetic trees, structure prediction and analysis of DNA, ribonucleic acid and protein, and molecular docking...
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